论文详情
断裂发育地区地震速度建模困难,但其精度决定着成像结果的精度和可信度。将断裂属性作为先验信息应用于正则化约束中,针对人工解释断裂信息精度不高、重复工作量大的难题,以高斯束层析反演理论为基础,研究了基于断裂属性约束的高斯束层析速度建模技术。该方法通过引入基于最优路径寻优的断层特征提取技术,利用数据驱动得到高精度断裂信息,结合预条件正则化技术将断裂属性应用于层析反演迭代过程中,建立深度域断裂属性约束高斯束层析速度建模的地质框架,得到更为精确的速度模型,所得结果能够更加准确地刻画断裂两侧的地层速度,从而提高断裂的成像精度。理论模型数据及实际地震资料测试结果表明该技术反演得到的速度模型更加精细,相比于常规网格层析结果,断裂成像效果好,断面干脆,断点清晰,验证了方法的有效性与实用性。
Fault-controlled reservoirs have attracted increasing attention as the main exploration targets.Fault-constrained velocity model building and seismic imaging are of great significance for exploration.To improve the accuracy of the velocity model in fault developed areas,fault information has been introduced into a velocity building model in the depth domain based on the Gaussian beam theory.Furthermore,fault-controlled Gaussian beam tomography has been deduced to improve model accuracy,which depends on the accuracy of the information on fault attributes.By introducing a fault detection algorithm based on optimal surface voting,high-accuracy fault information was obtained in a data-driven manner.By combining this algorithm with pre-condition regularization to constrain the Gaussian beam tomography,a fault-constrained velocity building model in the depth domain was established.The proposed model could improve the accuracy of velocity modeling in fault developed regions.Testing on synthetic and actual field data confirmed the validity and practicability of the proposed method.
国家自然科学基金企业创新发展联合基金(U19B6003)资助。